Founder/Chief Technology Officer
Michael Schmidt's research focuses on "Machine Science" - a direction in artificial intelligence research to accelerate data-driven discovery. Over the past 6 years, he has worked on algorithms and techniques to automate knowledge discovery from data. In particular, he has published extensively on identifying mathematical relationships (such as laws of physics) in experimental data, and algorithms in evolutionary computation.
Michael is the creator of the Eureqa project - a popular software program for discovering hidden mathematical relations in experimental data. His research has appeared in several news outlets from the New York Times, to NPR's RadioLab, and Communications of the ACM. Currently, Michael runs Nutonian Inc. which specializes in scientific data mining and cloud computing for data analysis. In 2011, Michael was featured in the Forbes list of the "Most Powerful Data Scientists" by Tim O'Reilly.